Real Estate Market Analysis: Top 5 Data Streams


Real Estate Market Analysis needs to be data-driven, and given the spatial nature of Real Estate investment, you want the data that you are leaning on to be spatial data

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Real Estate Market Analysis: Top 5 Data Streams

It can be a challenge to maintain a firm grasp on shifting values in ever-changing Commercial and Residential Real Estate markets  but the cost of a knowledge gap can be dramatic. For investors and organizations with significant Real Estate portfolios  a lack of insight into market values can lead to bad investments or money left on the table. A comprehensive Real Estate Market Analysis using new proptech solutions is critical for filling these gaps.

Data for Real Estate Market Analysis

Real Estate Market Analysis  or the process of analyzing a property or investment opportunity to determine likely value and potential ROI  is crucial to long-term success when working in Real Estate. When performing such an analysis  you want to be data-driven  and given the spatial nature of Real Estate investment  you want the data that you are leaning on to be spatial data.

Most Real Estate Market Analysis involves gaining an understanding of the real-world circumstances around the geographic location of the property in question. Here are the top 5 new spatial data streams that you want to be incorporating as you start your analysis:

  • POI data
  • Human Mobility & Traffic
  • Demographics
  • Financial Data
  • Housing and Parcel Data

POI Data for Real Estate Market Analysis

A key factor in identifying property investment opportunities is having an understanding of the attributes that make properties of a certain type more (or less) valuable. Often  a major contributing factor is the other businesses  infrastructure  housing  and more that surround the location we are analyzing. It is for this reason that integrating Point of Interest (or POI) data is crucial to analysis  critical when building a Market Analysis solution.


POI Data Solutions


Varied POI datasets can also offer useful attributes which can allow for more granular insight when filtering by factors such as brand name  category (as above) and sub-category  opening hours  and much more. But evaluating distinct POI providers can be time consuming  while the analysis it is needed for can be time sensitive.

POI data is often a jumping off point for enriching with additional data for deeper analysis. Using a location data catalogue like CARTO's Data Observatory can help you fast-track your journey towards this data  providing it at the spatial scale you need  and eliminating time consuming evaluation and data preparation steps.

 {% include icons/icon-bookmark.svg %}  Want to start incorporating new data streams and spatial analysis into your work? Learn how today!

Human Mobility and Traffic Data for Real Estate Analysis

While visualizing POIs near a potential Real Estate investment opportunity can give you a baseline understanding of the area and possible audiences. Point of interest data isn't providing definitive insights on the potential footfall and traffic that may impact this location.

Human Mobility data from a provider like SafeGraph or traffic information for the roads outside a location can provide a much deeper look at visitor patterns. For commercial Real Estate investment  this can help for predicting sales. For Investors examining a multi-tenant property  it is important to understand traffic  as it can impact desirability.


The above map showcases human mobility data in action  visualizing the aggregated origins and destinations of foot traffic past a local POI. Without this understanding  any Real Estate Market Analysis will be incomplete.

Enriching with Demographic Data

Any successful retail brand or new high rise apartment complex will be working towards a keener understanding of their perfect customer. Maybe they are marketing towards groups from a distinct income band  or at a certain educational level.


Real Estate Demographic Data


Demographic data  taken from sources like a census  can be introduced alongside the above-mentioned POIs and Human Mobility data to understand not just how many people are likely to walk by a prospective storefront  but rather who  in aggregate  those people are.

Putting Financial Transaction Data to Work

Aggregated credit card transaction data  generated by hundreds of millions of transactions every hour  is a goldmine of insight when used to enrich analysis. Leveraging a resource like Mastercard Retail Location Insights data  can be a major differentiator when building out a more complete Real Estate Market Analysis framework than your competitors.


Real Estate Financial Data


This resource has data aggregated at a wide range of spatial scales  that contains details on average purchase price  purchaser origins  and built in demographics  and is filterable by multiple business categories. Putting it to use in your market analysis can add greater depth and detail to building business projections for a potential investment.

Validate Real Estate Analysis with Housing and Parcel Data

Last  but certainly not least  any holistic Real Estate Market Analysis should be leveraging existing housing and parcel data for a complete understanding of property values. This data is often publically available  but may be found in disparate locations  in varying formats  or at inconsistent spatial scales.


This makes finding comprehensive and reliable data sources  like Real Estate data from Tinsa (visualized above) or national parcel data from Landgrid (visualized below)  a priority.

And having a resource like CARTO's Data Observatory available can make introducing these datasets (and datasets from all of the above categories) into your Real Estate Market Analysis easier than ever.


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